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the-stack_106_15771 | # Copyright 2014 The LibYuv Project Authors. All rights reserved.
#
# Use of this source code is governed by a BSD-style license
# that can be found in the LICENSE file in the root of the source
# tree. An additional intellectual property rights grant can be found
# in the file PATENTS. All contributing project authors... |
the-stack_106_15772 | import logging
import os
import time
import timeit
import numpy as np
import matplotlib.pyplot as plt
from argparse import ArgumentParser
import paddle
import paddle.nn as nn
# user
from builders.model_builder import build_model
from builders.dataset_builder import build_dataset_train
from utils.utils import setup_s... |
the-stack_106_15773 | import dragonfly as df
import title_menu, menu_utils, server, df_utils, game, letters, items, server
from game_menu import game_menu
inventory_wrapper = menu_utils.InventoryMenuWrapper()
def get_inventory_page(menu):
page = game_menu.get_page_by_name(menu, 'inventoryPage')
return page
async def focus_item(pa... |
the-stack_106_15774 | from unittest import TestCase
from unittest import main
import mock
import sys
from masking_api_60.api.application_api import ApplicationApi
from masking_api_60.models.application import Application
from masking_api_60.models.application_list import ApplicationList
from masking_api_60.models.page_info import Pag... |
the-stack_106_15776 | # Copyright 2021 SpinQ Technology Co., Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... |
the-stack_106_15777 | # Copyright 2017 The Sonnet Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... |
the-stack_106_15780 | import numpy as np
import matplotlib.pyplot as plt
import sys
def format_number(x):
return 255 - x.reshape((28,28))
def main(path="means.csv"):
means = np.genfromtxt(path, delimiter=',',dtype=np.uint8)[:,:-1]
print(means.shape)
for i in range(20):
plt.subplot(4,5,i+1)
plt.imshow(forma... |
the-stack_106_15782 | from collections import OrderedDict, MutableMapping
from copy import deepcopy
from django.db.models import F
def delete_keys_from_dict(dictionary):
"""
Recursive function to remove all keys from a dictionary/OrderedDict which
start with an underscore: "_"
parameters:
- dictionary: dictionary... |
the-stack_106_15783 | """
This module helps you understand:
-- UNIT TESTING.
-- the difference between PRINT and RETURN
Authors: David Mutchler, Dave Fisher, Vibha Alangar, Mark Hays, Amanda Stouder,
their colleagues and Owen Land.
"""
###############################################################################
#
# DONE: 1.... |
the-stack_106_15785 | # coding: utf-8
#
import uiautomator2 as u2
import pytest
import logging
import time
def test_set_xpath_debug(sess):
with pytest.raises(TypeError):
sess.settings['xpath_debug'] = 1
sess.settings['xpath_debug'] = True
assert sess.settings['xpath_debug'] == True
assert sess.xpath.logger.le... |
the-stack_106_15789 | import os
import numpy as np
import torch
import cv2
import argparse
from tqdm import tqdm
from detectron2 import model_zoo
from detectron2.config import CfgNode
import detectron2.data.transforms as T
from detectron2.config import get_cfg
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.modeling... |
the-stack_106_15790 | """
Defines Layout classes which may be used to arrange panes and widgets
in flexible ways to build complex dashboards.
"""
from __future__ import absolute_import, division, unicode_literals
from collections import OrderedDict
import param
import numpy as np
from bokeh.models import (Column as BkColumn, Row as BkRow... |
the-stack_106_15793 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function, unicode_literals
# Standard library modules
import unittest
# Third-party modules
import boto3
from botocore.exceptions import ClientError
# Package modules
from moto import mock_cloudformation
AWS_REGION = 'us-west-1'
SG_STA... |
the-stack_106_15796 | import sqlite3
from .fixtures import *
def test_update_status_invalid(tmp_path, process, disable_extractors_dict):
subprocess.run(['archivebox', 'add', 'http://127.0.0.1:8080/static/example.com.html'], capture_output=True, env=disable_extractors_dict)
assert list((tmp_path / "archive").iterdir()) != []
a... |
the-stack_106_15797 | def event_handler(obj, event):
if event == lv.EVENT.CLICKED:
date = obj.get_pressed_date()
if date is not None:
obj.set_today_date(date)
calendar = lv.calendar(lv.scr_act())
calendar.set_size(230, 230)
calendar.align(None, lv.ALIGN.CENTER, 0, 0)
calendar.set_event_cb(event_handler)
# S... |
the-stack_106_15799 | # -*- coding: utf-8 -*-
"""
Copyright 2020 Giuliano Franca
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agree... |
the-stack_106_15801 | #
# Copyright (c) 2019 ISP RAS (http://www.ispras.ru)
# Ivannikov Institute for System Programming of the Russian Academy of Sciences
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# h... |
the-stack_106_15804 | import mxnet as mx
import mxnet.ndarray as nd
from utils.math import Distances
from utils.converters import Converters
from tensorboardX import SummaryWriter
from dataProcessor.tiffReader import GEOMAP
from networkProcessor.trainer import Trainer
from network.resnext import resnext50_32x4d
from dataProcessor.imagePro... |
the-stack_106_15805 | import hmac
import hashlib
from itertools import count
import struct
import time
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC
from cryptography.hazmat.backends import default_backend
from scapy.automaton import ATMT, Automaton
from scapy.base_class... |
the-stack_106_15808 | #pylint: disable-all
"""
Test a final model with distance attacks
"""
import os
import copy
import argparse
import subprocess
import yaml
if __name__ == "__main__":
TEST_TYPES = {
"BIM_L2": {
"adversary_type": "L2BasicIterativeAttack",
"distance_type": "MeanSquaredDistance"
... |
the-stack_106_15809 | import numpy as np
from multiphenotype_utils import (get_continuous_features_as_matrix, add_id, remove_id_and_get_mat,
partition_dataframe_into_binary_and_continuous, divide_idxs_into_batches)
import pandas as pd
import tensorflow as tf
from dimreducer import DimReducer
from general_autoencoder import GeneralAuto... |
the-stack_106_15812 | #!/usr/bin/env python
# plot already normalized data
# first column is time stamp
#plot-normalized.py taken from PMU-tools
import csv
import matplotlib.pyplot as plt
import sys
import argparse
ap = argparse.ArgumentParser(usage='Plot already normalized CSV data')
ap.add_argument('--output', '-o', help='Output to file.... |
the-stack_106_15815 | # -*- coding: utf-8 -*-
# Copyright 2016 OpenMarket Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... |
the-stack_106_15816 | """
Testing of callbacks in non-Python Alert snippets.
"""
from pathlib import Path
import dash.testing.wait as wait
from .helpers import load_jl_app, load_r_app
HERE = Path(__file__).parent
def test_r_dismiss(dashr):
r_app = load_r_app((HERE.parent / "alert" / "dismiss.R"), "alert")
dashr.start_server(r_a... |
the-stack_106_15818 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import json
import logging
import pytest
import ray
import ray.services as services
from ray.test.cluster_utils import Cluster
logger = logging.getLogger(__name__)
@pytest.fixture
def start_connected_cluste... |
the-stack_106_15819 | import numpy as np
class LOWESS:
def __init__(self, sigma=1., frac=1., eps=1e-8):
self.sigma = sigma
self.frac = frac
self.eps = eps
self.X_ = None
self.y_ = None
def _compute_weights(self, x):
distances = np.linalg.norm(self.X_ - x[:, None], axis=-1)
... |
the-stack_106_15820 | # coding: utf-8
"""
CLOUD API
An enterprise-grade Infrastructure is provided as a Service (IaaS) solution that can be managed through a browser-based \"Data Center Designer\" (DCD) tool or via an easy to use API. The API allows you to perform a variety of management tasks such as spinning up additional serv... |
the-stack_106_15821 | import math
import copy
from contextlib import contextmanager
from functools import partial
import torch
import torch.nn.functional as F
from torch import nn, einsum
from einops import rearrange, repeat, reduce
from einops.layers.torch import Rearrange
from x_clip.mlm import MLM
from x_clip.visual_ssl import SimSiam,... |
the-stack_106_15823 | """
Defines the Card class which models a Magic: the Gathering card's behaviour.
Currently, the following actions are supported: to gain mana instanteneously as
well as according to a pattern every turn, to create gold/create gold/draw Cards
immediately as well as according to a pattern every turn. Additionally, a card... |
the-stack_106_15828 | # Copyright (c) 2020, Apple Inc. All rights reserved.
#
# Use of this source code is governed by a BSD-3-clause license that can be
# found in the LICENSE.txt file or at https://opensource.org/licenses/BSD-3-Clause
import six
from coremltools import TensorType
import pytest
tf = pytest.importorskip("tensorflow", m... |
the-stack_106_15829 | import os
from robolearn.old_utils.plots.specific_cost import plot_specific_cost
method = 'gps' # 'gps' or 'trajopt'
gps_directory_names = ['gps_log1']
gps_models_labels = ['gps_log1']
itr_to_load = None # list(range(8))
block = False
specific_costs = None #[4] # None for all costs
dir_names = [os.path.dirname(os... |
the-stack_106_15830 | # Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class PyRequestsOauthlib(PythonPackage):
"""This project provides first-class OAuth library supp... |
the-stack_106_15831 | ## @package Rve
# This module contains classes (Rve Modelers) that are used
# to handle the generation, assignment and tracking of
# RveConstitutiveLaws.
#
# More details
from __future__ import print_function, absolute_import, division #makes KratosMultiphysics backward compatible with python 2.6 and 2.7
i... |
the-stack_106_15832 | from setuptools import setup, find_packages
requirements = ['Flask', 'werkzeug', 'jinja2', 'peewee>=3.0.0', 'wtforms', 'wtf-peewee']
setup(
name='flask-peewee',
version='3.0.4-propel',
url='http://github.com/coleifer/flask-peewee/',
license='MIT',
author='Charles Leifer',
author_email='coleifer... |
the-stack_106_15834 | """
Copyright 2017-present Airbnb, Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, sof... |
the-stack_106_15835 | """A demo for object detection or image classification using CORAL TPU.
This example is intended to run later in a raspberry PI, but for now, is running on a
Linux machine
The only pending thing to make it run on the raspberry, since capturing frames require
a different method through the picamera python library
See:... |
the-stack_106_15837 | import argparse
import scipy
from scipy import ndimage
import numpy as np
import sys
from packaging import version
from multiprocessing import Pool
import torch
from torch.autograd import Variable
import torchvision.models as models
import torch.nn.functional as F
from torch.utils import data, model_zoo
from model.deep... |
the-stack_106_15839 | import unittest
from datetime import datetime
from django.utils import http
from django.utils.datastructures import MultiValueDict
class TestUtilsHttp(unittest.TestCase):
def test_urlencode(self):
# 2-tuples (the norm)
result = http.urlencode((('a', 1), ('b', 2), ('c', 3)))
self.assertEq... |
the-stack_106_15841 | import numpy as np
import pandas as pd
from copy import copy, deepcopy
from matplotlib import pyplot as plt
from datetime import datetime, timedelta
from matplotlib.backends.backend_pdf import PdfPages
dfheight=pd.read_csv('../data/raw/Results from Val_Roseg_Timelapse in µm per sec.csv')
dfdates=pd.read_csv('../data/r... |
the-stack_106_15844 | import select
import socket
import threading
try:
import SocketServer
except ImportError:
import socketserver as SocketServer
def check_if_ipv6(ip):
try:
socket.inet_pton(socket.AF_INET6, ip)
return True
except socket.error:
return False
class LocalPortForwarding:
def __... |
the-stack_106_15845 | import random
import pytest
from aiohttp_apiset.jinja2 import template
@template('fake.html')
def handler(request):
return {'req': request}
@template('fake.html')
async def handler2(request):
return {'req': request}
@pytest.mark.parametrize('handler', [
handler, handler2
])
async def test_with_req(s... |
the-stack_106_15847 | # import os
# import cv2
# import numpy as np
#
# INPUT_VIDEO = 'test.mp4'
# OUTPUT_IMG = 'out_my_video'
# os.makedirs(OUTPUT_IMG, exist_ok=True)
#
#
# def print_image(img, frame_diff):
# """
# Place images side-by-side
# """
# new_img = np.zeros([img.shape[0], img.shape[1] * 2, img.shape[2]]) # [heigh... |
the-stack_106_15851 | """Utility methods for Mycroft Precise."""
class TriggerDetector:
"""
Reads predictions and detects activations
This prevents multiple close activations from occurring when
the predictions look like ...!!!..!!...
NOTE: Taken from precise-runner source code
"""
def __init__(self, chunk_si... |
the-stack_106_15852 | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... |
the-stack_106_15853 | class Solution:
# @param s, a string
# @return a string
def reverseWords(self, s):
if s is None:
return
s = s.strip()
words = s.split()
words.reverse()
s = " ".join(words)
return s |
the-stack_106_15854 | """
To understand why this file is here, please read:
http://cookiecutter-django.readthedocs.io/en/latest/faq.html#why-is-there-a-django-contrib-sites-directory-in-cookiecutter-django
"""
from django.conf import settings
from django.db import migrations
def update_site_forward(apps, schema_editor):
"""Set site d... |
the-stack_106_15856 | from sklearn.metrics import roc_auc_score
from sklearn.metrics import roc_curve
import numpy as np
from federatedml.util import consts
import logging
from federatedml.util import LOGGER
from federatedml.evaluation.metrics import classification_metric
from federatedml.evaluation.metrics import regression_metric
from fe... |
the-stack_106_15858 | # -*- coding: utf-8 -*-
"""
pygments.styles
~~~~~~~~~~~~~~~
Contains built-in styles.
:copyright: Copyright 2006-2014 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
from pygments.plugin import find_plugin_styles
from pygments.util import ClassNotFound
#: Maps sty... |
the-stack_106_15859 | # Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... |
the-stack_106_15860 | import numpy as np
import torch
from matplotlib import pyplot as plt
from matplotlib.lines import Line2D
from sinkhorn_barycenters import barycenter
from utils import gengaussians
params = {"legend.fontsize": 18,
"axes.titlesize": 16,
"axes.labelsize": 16,
"xtick.labelsize": 13,
... |
the-stack_106_15862 | import os
import shutil
import textwrap
import unittest
import subprocess
import click.testing
import mkcodes
class TestBase(unittest.TestCase):
outputfile = 'tests/output/output.py'
def tearDown(self):
shutil.rmtree('tests/output', ignore_errors=True)
@classmethod
def call(cls, *flags, in... |
the-stack_106_15864 | """
* Created with PyCharm.
* User: 彭诗杰
* Date: 2018/5/3
* Time: 11:25
* Description: main handler for backend system
* one remote object one server, not many options onfiguration Parameters:
* {
* local_sign: false, // default sign tx in jingtumd
* }
"""
import json
import math
from numbers import Number
f... |
the-stack_106_15866 | import torch
import torch.nn as nn
import numpy as np
import math
from time import time
from .kernels import MaxSimCUDA
from .kernels import ComputeCentroidsCUDA
from ..CustomModule import CustomModule
class MultiKMeans(CustomModule):
"""
Run multiple independent K-means algorithms in parallel.
Parameters:
... |
the-stack_106_15868 | """The LBFGS attack
"""
import numpy as np
import tensorflow as tf
from cleverhans.attacks.attack import Attack
from cleverhans.compat import reduce_sum, softmax_cross_entropy_with_logits
from cleverhans.model import CallableModelWrapper, Model, wrapper_warning
from cleverhans import utils
from cleverhans import util... |
the-stack_106_15869 | import json
import datetime
import random
from picklefield import PickledObjectField
from django.shortcuts import render
from django.http import HttpResponse
from django_q.tasks import Async, schedule
from django_q.models import Schedule, Task
# Create your views here.
class CJsonEncoder(json.JSONEncoder):
def... |
the-stack_106_15872 | #
# UAVCAN DSDL compiler for libuavcan
#
# Copyright (C) 2014 Pavel Kirienko <pavel.kirienko@gmail.com>
#
'''
This module implements the core functionality of the UAVCAN DSDL compiler for libuavcan.
Supported Python versions: 3.2+, 2.7.
It accepts a list of root namespaces and produces the set of C++ header files for ... |
the-stack_106_15873 | from setuptools import find_packages
from setuptools import setup
package_name = 'ros2component'
setup(
name=package_name,
version='0.12.0',
packages=find_packages(exclude=['test']),
data_files=[
('share/' + package_name, ['package.xml']),
('share/ament_index/resource_index/packages',
... |
the-stack_106_15874 | import numpy as np
import pandas as pd
__all__ = (
"one_ns_timedelta",
"one_s_timedelta",
"unix_begin_time"
)
one_ns_timedelta = pd.Timedelta(1)
one_s_timedelta = np.timedelta64(1, 's')
unix_begin_time = pd.Timestamp(0, unit='s')
|
the-stack_106_15875 | import numpy as np
import scipy.stats as sps
import torch
import models.dataset as md
import models.model as mm
import utils.smiles as chem_smiles
from running_modes.configurations.general_configuration_envelope import GeneralConfigurationEnvelope
from running_modes.configurations.transfer_learning.adaptive_learning_r... |
the-stack_106_15876 | """
The MIT License (MIT)
Copyright (c) 2020 James
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publis... |
the-stack_106_15877 | import base64
import datetime
import json
import os
import uuid
from collections import defaultdict
import flask.views
from datastore_viewer.infrastructure import DatastoreViewerRepository
from datastore_viewer.infrastructure import get_client
from datastore_viewer.presentation.ui.api.encoder import DataStoreEntityJS... |
the-stack_106_15878 | from django.contrib.auth import get_user_model
from django.contrib.auth.models import Permission
from django.db import transaction
from rest_framework import serializers
from .models import *
from Users.serializers import UserSerializer
from core.views import get_userData
class OrganizationSerializer(serializers.Mod... |
the-stack_106_15879 | import argparse
import logging
from dvc.command.base import append_doc_link
from dvc.command.base import CmdBase
from dvc.command.base import fix_subparsers
from dvc.exceptions import BadMetricError
from dvc.exceptions import DvcException
logger = logging.getLogger(__name__)
def show_metrics(metrics, all_branches=... |
the-stack_106_15880 | """
Num params: 122790952
Run it as: mpiexec -n {num_processes} python3.6 -m flows_celeba.launchers.celeba128_5bit_official from the flows master directory of the git repo.
num_processes=8 was used for this launcher on a 8-GPU (1080 Ti) machine with 40 GB RAM.
If you want to use python3.5, remove the f str... |
the-stack_106_15882 | """
This example script download a test raster, caculates and plot normalised channel steepness (ksn).
Read the comments to understand each steps. Copy and adapt this script to learn.
If any questions: b.gailleton@sms.ed.ac.uk
B.G.
"""
# If you are facing a common matplotlib issue, uncomment that:
#####################... |
the-stack_106_15883 | """distutils.command.check
Implements the Distutils 'check' command.
"""
from distutils.core import Command
from distutils.errors import DistutilsSetupError
try:
# docutils is installed
from docutils.utils import Reporter
from docutils.parsers.rst import Parser
from docutils import frontend
from d... |
the-stack_106_15886 | from __future__ import annotations
import typing
from typing import Any, Optional, Dict, List, Union, Optional
from dataclasses import asdict
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal # type: ignore
if typing.TYPE_CHECKING:
from dataclasses import dataclas... |
the-stack_106_15887 | import csv
import logging
import psutil
from intelligence import intelligence
class processlist( intelligence ):
def __init__( self, output_type='csv' ):
super(processlist, self).__init__( output_type='csv' )
self.default_headers = None
def run( self ):
self.logger.info( 'run... |
the-stack_106_15888 | # **********************************************************************************************************************
#
# brief: simple script to plot runtimes
#
# author: Lukas Reithmeier
# date: 16.08.2020
#
# ************************************************************************************************... |
the-stack_106_15891 | #copyright (c) 2019 PaddlePaddle Authors. All Rights Reserve.
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#Unless required by applicable l... |
the-stack_106_15892 | # This file helps to compute a version number in source trees obtained from
# git-archive tarball (such as those provided by githubs download-from-tag
# feature). Distribution tarballs (built by setup.py sdist) and build
# directories (produced by setup.py build) will contain a much shorter file
# that just contains th... |
the-stack_106_15893 | '''
Manage ruby gems.
'''
# Import python libs
import re
def _gem(command, ruby=None, runas=None):
cmdline = 'gem {command}'.format(command=command)
if __salt__['rvm.is_installed']():
return __salt__['rvm.do'](ruby, cmdline, runas=runas)
ret = __salt__['cmd.run_all'](
cmdline,
ru... |
the-stack_106_15894 | import sys
sys.path.insert(1,"../../../")
import h2o
from tests import pyunit_utils
from h2o.estimators.gbm import H2OGradientBoostingEstimator
def distribution_behavior_gbm():
eco = h2o.import_file(path=pyunit_utils.locate("smalldata/gbm_test/ecology_model.csv"))
# 0/1 response: expect gaussian
eco_model = H2... |
the-stack_106_15895 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import init
from models.generators.resblocks import Block
class ResNetGenerator(nn.Module):
"""Generator generates 64x64."""
def __init__(self, num_features=64, dim_z=128, bottom_width=4,
activation=F.relu, num... |
the-stack_106_15896 | # Copyright 2016 Red Hat, Inc.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law ... |
the-stack_106_15899 | import os
from instauto.api.client import ApiClient
from instauto.api.actions import post as ps
from instauto.api.actions import search as se
if __name__ == '__main__':
if os.path.isfile('./.instauto.save'):
client = ApiClient.initiate_from_file('./.instauto.save')
else:
client = ApiClient(use... |
the-stack_106_15900 | import sys
import traceback
from typing import Any
import discord
from discord.ext import commands
from discord.ext.commands import errors
import bot_config
import errors as cerrors
import functions
class Logging(commands.Cog):
"""Handle logging stuff"""
def __init__(
self,
bot: commands.Bo... |
the-stack_106_15904 | import os.path
import logging
import socket
from base64 import b64encode
from urllib3 import PoolManager, ProxyManager, proxy_from_url, Timeout
from urllib3.util.retry import Retry
from urllib3.util.ssl_ import (
ssl, OP_NO_SSLv2, OP_NO_SSLv3, OP_NO_COMPRESSION, DEFAULT_CIPHERS,
)
from urllib3.exceptions import SS... |
the-stack_106_15905 | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... |
the-stack_106_15906 | # Copyright (C) 2003-2007, 2009-2011 Nominum, Inc.
#
# Permission to use, copy, modify, and distribute this software and its
# documentation for any purpose with or without fee is hereby granted,
# provided that the above copyright notice and this permission notice
# appear in all copies.
#
# THE SOFTWARE IS PROVIDED "... |
the-stack_106_15912 | """
Groups a batch_size block of worlds together; can run act, reset etc on entire batch
"""
import torch
import numpy as np
from ulfs import alive_sieve
from ulfs.rl_common import cudarize
class WorldsContainer(object):
"""
Contains a bunch of worlds, runs action tensor against them, and returns
rewards... |
the-stack_106_15913 | # Copyright 2019 MilaGraph. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... |
the-stack_106_15915 | import numpy as np
try:
# use scipy if available: it's faster
from scipy.fftpack import fft, ifft, fftshift
except ImportError:
from numpy.fft import fft, ifft, fftshift
def FT_continuous(t, h, axis=-1, method=1):
r"""Approximate a continuous 1D Fourier Transform with sampled data.
This function... |
the-stack_106_15916 | from z3 import *
import jry2.translator as translator
import random
def getId(type, id):
return type + str(id)
def declareVar(type, id, VarTable):
newVar = translator.DeclareVar(type, id)
# print "declareVar", id, newVar, type
VarTable[str(newVar)] = newVar
return newVar
def replaceFunctionCall... |
the-stack_106_15917 | #!/usr/bin/env python3
#
# Consolidate all the raw Blogger JSON files into a single, simplified JSON file.
#
from collections import OrderedDict
import html
import io
import json
import sys
import lxml.etree as ET
import lxml.html
import re
import feeds
import util
posts = feeds.json_post_entries_list()
output = []... |
the-stack_106_15918 | import numpy as py
print("Input: ",end="")
arr = py.array(input().split()).astype(int)
def count(arr, low, high):
while high >= low:
mid = (high + low)//2
if (arr[mid] == 1 and (mid == 0 or arr[mid - 1] == 0)):
return mid
if arr[mid]==1:
high... |
the-stack_106_15922 | # coding: utf-8
# Copyright (c) 2016, 2021, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may c... |
the-stack_106_15924 | # ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import os
import json
import hashlib
from datetime import datetime
from os import listdir
from os.path import isfile, join
from c... |
the-stack_106_15929 | # !/usr/bin/env python3
import jieba
from gensim import corpora, models, similarities
# choice_item = [
# '不方便，在工作，稍等一会, 我不是很感兴趣, 能不能等会再打','方便, 好，可以聊一下，方便，感兴趣，挺好的，有什么事','不知道你说的啥']
choice_item = ['不方便','在工作','稍等一会','我不是很感兴趣', '能不能等会再打','方便', '好','可以聊一下','方便','感兴趣','挺好的','有什么事','不知道你说的啥']
choice_cut = ... |
the-stack_106_15931 | from unittest import mock
import os
import pytest
import tomlfmt
here = os.path.dirname(__file__)
pyproject_toml = os.path.join(os.path.dirname(here), "pyproject.toml")
@pytest.fixture
def no_write():
"""utility for verifying that no files are written"""
def open_no_write(path, mode="r"):
assert m... |
the-stack_106_15932 | import numpy as np
from matplotlib import pyplot as plt
import EmotionUtils
import tensorflow as tf
FLAGS = tf.flags.FLAGS
tf.flags.DEFINE_string("data_dir",\
"EmotionDetector/",\
"Path to data files")
images = []
images = EmotionUtils.read_data(FLAGS.data_dir)
train_im... |
the-stack_106_15933 | # -*- coding: UTF-8 -*-
import numpy as np
import sys
def readPFM(fpath, expected_identifier="Pf"):
# PFM format definition: http://netpbm.sourceforge.net/doc/pfm.html
def _get_next_line(f):
next_line = f.readline().decode('utf-8').rstrip()
# ignore comments
while next_line.startswith(... |
the-stack_106_15935 |
from __future__ import print_function, division
import cv2
import numpy as np
from numba import jit
@jit
def copy_with_resize(src, dest, size):
'''
Copy an image with resizing
Parameters:
src - source
dest - destination
size - (width, height) tuple
'''
img = cv2.imread... |
the-stack_106_15940 | # --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
import os
import numpy as np
from distutils.core import setup
from dist... |
the-stack_106_15941 | import sys
import pathlib
field_type_mapping = {'CHAR': 'TEXT',
'INTEGER': 'INTEGER',
'TIMESTAMP': 'TEXT',
'VARCHAR': 'TEXT',
'DATE': 'TEXT'}
filename = pathlib.Path(sys.argv[1])
table_name = filename.stem.... |
the-stack_106_15942 | import csv
import os
import re
def translate(file, path):
csv_file = open(file, 'r')
csv_reader = csv.reader(csv_file, delimiter=',')
locales = [
{'identifier' : 'fr', 'column' : 3},
{'identifier' : 'en', 'column' : 5}
]
for aLocale in locales:
if not os.path.e... |
the-stack_106_15943 | import random
import os, codecs
import Hex
from binascii import hexlify as hx, unhexlify as uhx
import Keys
import re
from hashlib import sha256
from struct import pack as pk, unpack as upk
import Fs
import aes128
import sq_tools
import io
import Print
indent = 1
tabs = '\t' * indent
'''
versions =
... |
the-stack_106_15944 | import os
import requests
import six
import logging
from wandb.docker import auth
from wandb.docker import www_authenticate
import subprocess
entrypoint = os.path.join(os.path.dirname(
os.path.abspath(__file__)), "wandb-entrypoint.sh")
auth_config = auth.load_config()
log = logging.getLogger(__name__)
def shell(c... |
the-stack_106_15945 | from django.conf import settings
from django.db import migrations
from django.db.backends.base.schema import BaseDatabaseSchemaEditor
from django.db.migrations.state import StateApps
def update_default_site(apps: StateApps, schema_editor: BaseDatabaseSchemaEditor):
Site = apps.get_model('sites', 'Site') # noqa: ... |
the-stack_106_15946 | #!/usr/bin/env python
# pylint: disable=R0902, R0903, C0103
"""
Gantt.py is a simple class to render Gantt charts, as commonly used in
"""
import os
import json
import platform
from operator import sub
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import rc
# TeX support: on Linux assume TeX in ... |
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